Consistency and identifiability of autoregressive models with Markov regime

An autoregressive process with Markov regime is an autoregressive process for which the regression function at each time-point is given by a (nonobservable) Markov chain. We show consistency of a conditional maximum likelihood estimation and discuss identifiability of such models.